In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Autonomous agents interacting in an open world can be considered to be primarily driven by self interests. Previous work in this area has prescribed a strategy of reciprocal behav...
In Agent Mediated Electronic Commerce, autonomy of agents is an important property. On one hand, it has to be favored to make the agents able to determine and adapt their own goal...
We are interested in domains where an agent repeatedly negotiates with other agents over shared resources where the demand or utility to the agent for the shared resources vary ov...
The challenges of robotics have led the researchers to develop control architectures composed of distributed, independent and asynchronous behaviors. One way to approach decentral...